Sebastien Gay

About

Sebastien Gay is a leading researcher in bio-inspired robotics, with a focus on autonomous locomotion and postural control for complex, compliant humanoid systems. His work centers on integrating Central Pattern Generators (CPGs)—neural oscillators modeled after biological rhythms—with modular control strategies to enable robust, adaptive movement in unstructured environments. Gay’s most influential contribution, the 2011 paper “Toward simple control for complex, autonomous robotic applications,” has garnered 59 citations and established a framework for combining discrete and rhythmic motor primitives, simplifying control without sacrificing adaptability. His 2013 follow-up, with 45 citations, demonstrated how modular CPG-based controllers can achieve limit cycle locomotion over unperceived rough terrain, incorporating reflexes like stumbling correction to enhance resilience. Gay also pioneered the fusion of vision and CPG-driven locomotion for path planning, notably on the iCub humanoid, and explored both model-based and model-free approaches for postural stability using optical flow on the COMAN robot. His work bridges neuroscience and robotics, offering elegant, biologically plausible solutions for autonomous systems operating in the real world.

Research Focus

Key Achievements

Top Papers

1. 1
   Toward simple control for complex, autonomous robotic applications: combining discrete and rhythmic motor primitives

   59 citations · 2011
2. 2
   Modular control of limit cycle locomotion over unperceived rough terrain

   45 citations · 2013
3. 3
   Integration of vision and central pattern generator based locomotion for path planning of a non-holonomic crawling humanoid robot

   11 citations · 2010
4. 4
   Model-based and model-free approaches for postural control of a compliant humanoid robot using optical flow

   3 citations · 2013

Key Collaborators

Contact & Links